scholarly journals The association of road safety knowledge and risk behaviour with paediatric road traffic injury in Guangzhou, China

2010 ◽  
Vol 17 (1) ◽  
pp. 15-20 ◽  
Author(s):  
X. Dong ◽  
C. Peek-Asa ◽  
J. Yang ◽  
S. Wang ◽  
X. Chen ◽  
...  
Keyword(s):  
Road Safety ◽  
Road Traffic ◽  
Risk Behaviour ◽  
Road Traffic Injury ◽  
Traffic Injury ◽  
Safety Knowledge

scholarly journals The association of road safety knowledge, risk behaviour and road traffic injury among school-aged children in Guangzhou, China

2010 ◽  
Vol 16 (Supplement 1) ◽  
pp. A34-A35
Author(s):  
X. Dong ◽  
C. Peek-Asa ◽  
J. Yang ◽  
S. Wang ◽  
X. Chen ◽  
...  
Keyword(s):  
Road Safety ◽  
Road Traffic ◽  
Risk Behaviour ◽  
Road Traffic Injury ◽  
School Aged Children ◽  
Traffic Injury ◽  
Safety Knowledge

scholarly journals Identifying Factors that Influence the Patterns of Road Crashes Using Association Rules: A case Study from Wisconsin, United States

2019 ◽  
Vol 11 (7) ◽  
pp. 1925 ◽  
Author(s):  
Shuai Yu ◽  
Yuanhua Jia ◽  
Dongye Sun
Keyword(s):  
Association Rules ◽  
Road Safety ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Safety Level ◽  
Road Crashes ◽  
Traffic Injury ◽  
Fatal Crashes ◽  
Safety Improvement ◽  
Children And Young Adults

Road traffic injury is currently the leading cause of death among children and young adults aged 5–29 years all over the world. Measures must be taken to avoid accidents and promote the sustainability of road safety. The current study aimed to identify risk factors that are significantly associated with the severity in crash accidents; therefore, traffic crashes could be reduced, and the sustainable safety level of roadways could be improved. The Apriori algorithm is carried out to mine the significant association rules between the severity of the crash accidents and the factors influencing the occurrence of crash accidents. Compared to previous studies, the current study included the variables more comprehensively, including environment, management, and the state of drivers and vehicles. The data for the current study comes from the Wisconsin Transportation crash database that contains information on all reported crashes in Wisconsin in the year 2016. The results indicate that male drivers aged 16–29 are more inclined to be involved in crashes on roadways with no physical separation. Additionally, fatal crashes are more likely to occur in towns while property damage crashes are more likely to occur in the city. The findings can help government to make efficient policies on road safety improvement.

Ethnicity, deprivation and road traffic injury risk: a survey of risk and road safety and implications for injury prevention

2008 ◽  
Vol 46 (4) ◽  
pp. 133-138 ◽  
Author(s):  
Nicola Christie ◽  
Richard H. Kimberlee ◽  
Ronan Lyons ◽  
Elizabeth Towner ◽  
Heather Ward
Keyword(s):  
Injury Prevention ◽  
Road Safety ◽  
Injury Risk ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Traffic Injury

scholarly journals Road Traffic Injury on Rural Roads in Tanzania: Measuring the Effectiveness of a Road Safety Program

2015 ◽  
Vol 16 (5) ◽  
pp. 456-460 ◽  
Author(s):  
Karen Zimmerman ◽  
Deepani Jinadasa ◽  
Bertha Maegga ◽  
Alejandro Guerrero
Keyword(s):  
Road Safety ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Rural Roads ◽  
Safety Program ◽  
Traffic Injury

scholarly journals Classification of road traffic injury collision characteristics using text mining analysis: Implications for road injury prevention

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245636
Author(s):  
Melita J. Giummarra ◽  
Ben Beck ◽  
Belinda J. Gabbe
Keyword(s):  
Text Mining ◽  
Road Safety ◽  
Motor Vehicle ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Road Traffic Injuries ◽  
Traffic Injury ◽  
Compensation Claim ◽  
Injury Event ◽  
Crash Characteristics

Road traffic injuries are a leading cause of morbidity and mortality globally. Understanding circumstances leading to road traffic injury is crucial to improve road safety, and implement countermeasures to reduce the incidence and severity of road trauma. We aimed to characterise crash characteristics of road traffic collisions in Victoria, Australia, and to examine the relationship between crash characteristics and fault attribution. Data were extracted from the Victorian State Trauma Registry for motor vehicle drivers, motorcyclists, pedal cyclists and pedestrians with a no-fault compensation claim, aged > = 16 years and injured 2010–2016. People with intentional injury, serious head injury, no compensation claim/missing injury event description or who died < = 12-months post-injury were excluded, resulting in a sample of 2,486. Text mining of the injury event using QDA Miner and Wordstat was used to classify crash circumstances for each road user group. Crashes in which no other was at fault included circumstances involving lost control or avoiding a hazard, mechanical failure or medical conditions. Collisions in which another was predominantly at fault occurred at intersections with another vehicle entering from an adjacent direction, and head-on collisions. Crashes with higher prevalence of unknown fault included multi-vehicle collisions, pedal cyclists injured in rear-end collisions, and pedestrians hit while crossing the road or navigating slow traffic areas. We discuss several methods to promote road safety and to reduce the incidence and severity of road traffic injuries. Our recommendations take into consideration the incidence and impact of road trauma for different types of road users, and include engineering and infrastructure controls through to interventions targeting or accommodating human behaviour.

scholarly journals A Comparison of Ordered and Unordered Response Models for Analyzing Road Traffic Injury Severities in the North-Eastern Turkey

2017 ◽  
Vol 45 (3) ◽  
pp. 119
Author(s):  
Ali Kemal Çelik ◽  
Erkan Oktay
Keyword(s):  
Risk Factors ◽  
Road Safety ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Response Models ◽  
Traffic Injury ◽  
Eastern Turkey ◽  
North Eastern ◽  
Injury Severities

Road traffic injuries are estimated to be one of the major causes of death worldwide and a majority of them occur in low- and middle income countries. In that respect, further studies that address to determine risk factors that may influence road traffic injury severities in the corresponding countries may contribute the existing road safety literature. This paper determines possible risk factors influencing road traffic injury severity in north-eastern Turkey. For this purpose, a retrospective cross-sectional study is conducted analysing 11,771 traffic accidents reported by the police during the sample period of 2008-2013. As the accident severity is inherently ordered, the data are analysed using both ordered and unordered response models. The estimation results reveal that several driver (age and education level), accident (speeding violation, avoiding manoeuvre and right-of-way rule), vehicle (bus/minivan, single-unit truck/heavy truck, private and single vehicles), temporal (time of day, morning peak, evening peak), environmental (summer and cloudy or rainy weather), geometry (asphalt road and road class type), and control characteristics (presence of crosswalk and traffic lights) were found to have an impact on injury severity. This paper is most probably the first attempt to analyse possible risk factors of road traffic injury severities in Turkey using both ordered and unordered response models. The evidence of this study may be valuable for future road safety policies in emerging countries.

scholarly journals Sustainable Development Goal 3.6 and road traffic injury surveillance, Nigeria West Africa,2013–2016

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Obafemi J. Babalola ◽  
Patrick Nguku ◽  
Merissa A. Yellman
Keyword(s):  
Sustainable Development ◽  
Road Safety ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Sustainable Development Goal ◽  
Female Ratio ◽  
Development Goal ◽  
Road Traffic Crashes ◽  
The North ◽  
Traffic Injury

ObjectiveThis study aimed to describe RTC characteristics and trends in Nigeria and determine progress towards halving RTC-related deaths/injuries by 2020 [i.e., Sustainable Development Goal (SDG) Target 3.6].IntroductionGlobally, road traffic crashes (RTCs) annually kill 1.3 million people and injure 20-50 million others. Nigeria accounts for an estimated 15% of RTC deaths in the WHO African Region.MethodsWe abstracted, cleaned, and analyzed RTC surveillance data routinely collected from crash scenes from 2013-2016. Federal Road Safety Corps (FRSC) is the lead agency for RTC surveillance and regularly collates data from the 6 geopolitical zones (which contain the 36 Nigerian States and the Federal Capital Territory). We defined road traffic injury as a fatal or non-fatal injury incurred from collision on a public road involving ≥1 moving vehicle(s). We calculated descriptive statistics, frequencies, and proportions to describe RTC characteristics and trends.ResultsFrom 2013-2016, 283,949 persons were involved in 42,813 RTCs, resulting in 23,412 deaths and 127,264 injuries. Twenty-eight percent of RTCs involved ≥1 fatality. Ninety percent of persons involved in RTCs were ≥18 years old, with a male-female ratio of 3:1. The same proportion was also found for RTC deaths and for injuries. Despite containing only 15% of the country’s population, the North-Central geopolitical zone accounted for 37% of RTCs. The most common cause of RTCs was speed violations (26%). From 2013-2016, there were reductions of 30% for RTCs, 22% for number of fatalities, and 25% for number of injuries.ConclusionsNigeria reduced RTC deaths/injuries and achieved modest progress toward SDG Target 3.6. To further progress, FRSC can help by enhancing enforcement of speed violations and by educating road users about road safety practices. Also, they could investigate why certain geographical areas had disproportionate amounts of RTCs, deaths, and injuries. 

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